2022/23 Taught Postgraduate Programme Catalogue
MSc Health Informatics with Data Science (Part-time)
| Programme code: | MSC-HI/DS-PT | UCAS code: | |
|---|---|---|---|
| Duration: | 36 Months | Method of Attendance: | Part Time |
| Programme manager: | Wendy Harrison | Contact address: | W.Harrison@leeds.ac.uk |
Total credits: 180
Entry requirements:
• First degree in a relevant subject e.g. Social Sciences, STEMM, Nursing (or equivalent) 2:1 OR previous work experience (minimum 2 years) of handling and/or analysing data
• IELTS 7 – minimum of 6.5 in each component
School/Unit responsible for the parenting of students and programme:
Leeds Institute of Health Sciences, School of Medicine
Examination board through which the programme will be considered:
School of Medicine Postgraduate Programmes Assessment Board
Programme specification:
• The content of the programme will be driven by ‘real-world problems’ and delivered in a problem-centred approach
• Students will be working with ‘real world’ health data
• A multidisciplinary approach to accessing and using routine health data for research and patient benefit
• It takes a patient centred approach to evidence and to quality improvement for health professionals and others accessing and using health data
• Research led teaching from a core of staff with a track record of funded applied health research
• A teaching team with a strong track record in providing support to those returning to education to further their career development, including CPD.
• A higher maths qualification/specialism not essential as pre-entry online self-assessed refresher courses will be available in statistics and introduction to python software.
Year1 - View timetable
[Learning Outcomes, Transferable (Key) Skills, Assessment]
Compulsory modules:
Candidates will be required to study the following compulsory module:
| YCHI5081M | Statistics and Modelling for Health Sciences | 15 credits | Semester 1 (Sep to Jan) | |
| YCHI5082M | Foundations of Health Data | 15 credits | 01 Oct to 31 Dec | |
| YCHI5085M | Informatics and Data Science in Health Care and Research | 15 credits | Semester 1 (Sep to Jan) | |
| YCHI5086M | Law, Ethics and Governance for Health Data Science | 15 credits | 1 Jan to 31 Mar |
Optional modules:
Year2 - View timetable
[Learning Outcomes, Transferable (Key) Skills, Assessment]
Compulsory modules:
| YCHI5083M | Human Factors in Health Data Science | 15 credits | 1 Mar to 30 Apr | |
| YCHI5087M | Artificial Intelligence and Machine Learning in Health | 15 credits | Semester 2 (Jan to Jun) |
Optional modules:
Candidates will be required to study 30 credits from the following modules.
| HECN5010M | Principles of Health Economics | 15 credits | Not running in 202223 | |
| HECN5020M | Economic Evaluations for Health Technology Assessment | 15 credits | Not running in 202223 | |
| MEDR5260M | Introduction to Health Economics | 15 credits | Semester 2 (Jan to Jun) | |
| YCHI5075M | Spatial Analytics and Visualisation for Health | 15 credits | 1 Apr to 30 June |
Year3 - View timetable
[Learning Outcomes, Transferable (Key) Skills, Assessment]
Compulsory modules:
Candidates will be required to study the following compulsory module:
| YCHI5090M | MSc Health Informatics Project | 60 credits | 1 Jan to 30 Sep |
Last updated: 03/04/2023 13:58:04
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